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Edmonton Oilers 0-0-0, 0pts · 4th in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 87 | C | 100.00 | 68 | 34 | 85 | 82 | 76 | 90 | 90 | 81 | 96 | 84 | 84 | 63 | 82 | 90 | 99 | 0 | 78 | 91 | 37 | 8,700,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 57 | 34 | 92 | 85 | 73 | 89 | 88 | 80 | 57 | 79 | 86 | 63 | 83 | 73 | 72 | 0 | 87 | 88 | 28 | 7,500,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 67 | 42 | 78 | 79 | 88 | 88 | 89 | 74 | 61 | 74 | 78 | 92 | 76 | 75 | 72 | 0 | 70 | 87 | 29 | 4,750,000$/1yrs | |||
![]() | 0 | C | 100.00 | 60 | 34 | 90 | 73 | 85 | 87 | 90 | 74 | 83 | 73 | 78 | 65 | 76 | 82 | 81 | 0 | 65 | 84 | 33 | ||||
![]() | 0 | LW/RW | 100.00 | 60 | 35 | 89 | 76 | 67 | 82 | 88 | 74 | 58 | 77 | 76 | 57 | 75 | 74 | 73 | 0 | 78 | 83 | 29 | ||||
![]() | 0 | C/LW | 100.00 | 68 | 32 | 82 | 74 | 73 | 86 | 89 | 72 | 60 | 75 | 77 | 54 | 75 | 75 | 73 | 0 | 77 | 82 | 29 | 7,000,000$/8yrs | |||
![]() | 0 | LW/RW | 100.00 | 76 | 39 | 76 | 75 | 85 | 85 | 88 | 71 | 60 | 70 | 78 | 63 | 75 | 73 | 71 | 0 | 80 | 82 | 28 | 8,000,000$/6yrs | |||
![]() | 0 | C/LW | 100.00 | 68 | 33 | 90 | 68 | 79 | 86 | 90 | 66 | 87 | 73 | 65 | 78 | 65 | 80 | 79 | 0 | 77 | 80 | 32 | 5,000,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 79 | 39 | 76 | 71 | 79 | 84 | 90 | 67 | 84 | 71 | 69 | 66 | 68 | 65 | 63 | 0 | 74 | 79 | 24 | 6,250,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 80 | 37 | 78 | 66 | 75 | 81 | 90 | 64 | 80 | 67 | 65 | 76 | 64 | 77 | 75 | 0 | 78 | 78 | 31 | 3,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 92 | 53 | 71 | 61 | 81 | 78 | 88 | 61 | 78 | 64 | 64 | 73 | 62 | 67 | 64 | 0 | 77 | 75 | 25 | 1,850,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 90 | 61 | 73 | 55 | 88 | 69 | 78 | 54 | 60 | 55 | 56 | 58 | 55 | 89 | 86 | 0 | 77 | 70 | 38 | 1,350,000$/1yrs | |||
![]() | 0 | D | 100.00 | 75 | 33 | 75 | 64 | 78 | 96 | 89 | 66 | 30 | 73 | 63 | 78 | 65 | 90 | 87 | 0 | 72 | 83 | 38 | ||||
![]() | 55 | D | 100.00 | 73 | 36 | 92 | 62 | 94 | 96 | 88 | 65 | 30 | 66 | 68 | 85 | 66 | 79 | 78 | 0 | 78 | 82 | 32 | 6,500,000$/5yrs | |||
![]() | 48 | D | 100.00 | 76 | 35 | 84 | 65 | 88 | 92 | 89 | 64 | 30 | 67 | 61 | 80 | 63 | 67 | 66 | 0 | 78 | 80 | 25 | 4,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 34 | 89 | 68 | 79 | 98 | 90 | 65 | 30 | 71 | 63 | 76 | 64 | 63 | 62 | 0 | 76 | 80 | 22 | ||||
![]() | 0 | D | 100.00 | 76 | 35 | 85 | 57 | 87 | 89 | 90 | 63 | 30 | 65 | 57 | 81 | 60 | 83 | 81 | 0 | 67 | 79 | 34 | ||||
![]() | 0 | D | 100.00 | 86 | 54 | 68 | 55 | 90 | 87 | 90 | 59 | 30 | 62 | 58 | 74 | 59 | 83 | 80 | 0 | 77 | 76 | 34 | ||||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 73 | 39 | 82 | 69 | 81 | 87 | 89 | 68 | 58 | 70 | 69 | 71 | 69 | 77 | 76 | 0 | 76 | 81 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 34 | 100.00 | 85 | 95 | 83 | 85 | 88 | 80 | 89 | 94 | 87 | 93 | 89 | 70 | 74 | 0 | 78 | 90 | 26 | 2,600,000$/1yrs |
![]() | 0 | 100.00 | 76 | 89 | 78 | 79 | 82 | 75 | 84 | 89 | 84 | 89 | 84 | 77 | 81 | 0 | 78 | 86 | 31 | 3,500,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 81 | 92 | 81 | 82 | 85 | 78 | 87 | 92 | 86 | 91 | 87 | 74 | 78 | 0 | 78 | 88 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Mike Sullivan | 75 | 76 | 79 | 72 | 80 | 84 | 87 | USA | 56 | 4 | 1,000,000$ |
General Manager | Frederic Levesque |
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
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Projected Total Cap Hit | 0$ |
Projected Cap Space | 88,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 14 |
LTIR Players | 0 |
Oilers Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Tuch ![]() | C/RW | 29 | 4,750,000$ | 4,750,000$ | UFA | ||||||
Brayden McNabb ![]() | D | 34 | 0$ | UFA | |||||||
Brenden Dillon ![]() | D | 34 | 0$ | UFA | |||||||
Brock Faber ![]() | D | 22 | 0$ | RFA | |||||||
Brock Nelson ![]() | C | 33 | 0$ | UFA | |||||||
Carter Verhaeghe ![]() | C/LW | 29 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ |
Colton Parayko ![]() | D | 32 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||
Dylan Cozens ![]() | C/LW | 24 | 6,250,000$ | 6,250,000$ | RFA | ||||||
Jack McBain ![]() | C/LW | 25 | 1,850,000$ | 1,850,000$ | |||||||
Joonas Korpisalo | G | 31 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
K'Andre Miller ![]() | D | 25 | 4,500,000$ | 4,500,000$ | |||||||
Kris Letang ![]() | D | 38 | 0$ | UFA | |||||||
Kyle Connor ![]() | LW | 28 | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | |||||
Nikolaj Ehlers ![]() | LW/RW | 29 | 0$ | UFA | |||||||
Phillip Danault ![]() | C/LW | 32 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Ryan Reaves ![]() | RW | 38 | 1,350,000$ | 1,350,000$ | UFA | ||||||
Scott Laughton ![]() | C/LW | 31 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Sidney Crosby ![]() | C | 37 | 8,700,000$ | 8,700,000$ | 8,700,000$ | UFA | |||||
Stuart Skinner | G | 26 | 2,600,000$ | 2,600,000$ | |||||||
Timo Meier ![]() | LW/RW | 28 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alec Regula ![]() | D | 24 | 0$ | RFA | |||||||
Alexander Pashin ![]() | RW | 22 | 0$ | RFA | |||||||
Anthony Romano ![]() | C/LW/RW | 24 | 0$ | RFA | |||||||
Ben McCartney ![]() | LW | 23 | 850,000$ | 850,000$ | RFA | ||||||
Bokondji Imama ![]() | LW | 28 | 0$ | UFA | |||||||
Brandon Biro ![]() | LW | 27 | 850,000$ | 850,000$ | ![]() | ||||||
Brandon Hickey ![]() | D | 29 | 0$ | UFA | |||||||
Brennan Othmann ![]() | LW | 22 | 863,333$ | 863,333$ | RFA | ||||||
Brett Leason ![]() | C/RW | 26 | 0$ | ![]() | |||||||
Christian Wolanin ![]() | D | 30 | 0$ | UFA | |||||||
Connor McClennon ![]() | RW | 22 | 0$ | RFA | |||||||
Garrett Pilon ![]() | C | 27 | 0$ | ![]() | |||||||
Gavin Bayreuther ![]() | D | 31 | 0$ | UFA | |||||||
Jack LaFontaine ![]() | G | 27 | 0$ | ![]() | |||||||
John Leonard ![]() | LW | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Josh Lopina ![]() | C | 24 | 0$ | RFA | |||||||
Keean Washkurak ![]() | C | 23 | 0$ | RFA | |||||||
Ken Appleby ![]() | G | 30 | 0$ | UFA | |||||||
Libor Hajek ![]() | D | 27 | 0$ | ![]() | |||||||
Logan Shaw ![]() | C/RW | 32 | 0$ | UFA | |||||||
Mason Millman ![]() | D | 23 | 800,000$ | 800,000$ | RFA | ||||||
Mike Vecchione ![]() | RW | 32 | 0$ | UFA | |||||||
Pascal Laberge ![]() | C | 27 | 0$ | ![]() | |||||||
Robbie Russo ![]() | D | 32 | 0$ | UFA | |||||||
Sam Colangelo ![]() | RW | 23 | 0$ | RFA | |||||||
Samuel Asselin ![]() | C | 26 | 850,000$ | 850,000$ | ![]() | ||||||
Samuel Houde ![]() | C | 25 | 0$ | ![]() | |||||||
Sean Day ![]() | D | 27 | 0$ | ![]() | |||||||
Timur Ibragimov ![]() | LW | 24 | 0$ | RFA | |||||||
Tommy Nappier ![]() | G | 26 | 0$ | ![]() | |||||||
Topi Niemela ![]() | D | 23 | 0$ | RFA | |||||||
Trey Fix-Wolansky ![]() | RW | 26 | 0$ | ![]() | |||||||
Xavier Parent ![]() | C | 24 | 800,000$ | 800,000$ | RFA |
Forward Lines | |||||||
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Goalies | |||||||
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
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Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
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Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
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With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
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Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
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1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 2.83 |
Even Strenght Goal | 0 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
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PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
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Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
70,500,000$ | 0$ | 0$ | 17,500,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | Rexall Place | |
City | Edmonton | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
70,500,000$ | 70,500,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 70,500,000$ | 81,435,486$ | 81,435,486$ |
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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2025 | ||||||||
2026 | ||||||||
2027 | ||||||||
2028 | ||||||||
2029 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Alexander Ljungkrantz | |||||
Aram Minnetian | 2023 | 63 | |||
Axel Landen | 2023 | 145 | |||
Carson Latimer | 2021 | 141 | |||
Charlie Forslund | 2024 | 196 | |||
Chase Clark | 2021 | 170 | |||
Chris Romaine | 2022 | 187 | |||
Clarke Caswell | 2024 | 132 | |||
Emil Pieniniemi | 2023 | 88 | |||
Hugo Gabrielson | 2021 | 184 | |||
Jack Beck | 2021 | 166 | |||
Ludvig Lafton | 2024 | 203 | |||
Martin Hugo Has | 2019 | 162 | 5.0 - 5.5 | ||
Max Graham | 2024 | 139 | |||
Samuel Liptkin | 2021 | 196 | |||
Sawyer Mynio | 2023 | 89 | |||
Theodor Niederbach | 2020 | 49 | |||
William Francis | 2019 | 168 |